Author name: Steven Davies

In the world of electrical networks, not all outages are created equal. A new study published in *Инженерные технологии и системы* (Engineering Technologies and Systems) has shed light on the stark differences in the consequences of outages between 1

In a significant stride toward enhancing the efficiency of organic solar cells (OSCs), researchers have unveiled a novel approach that could reshape the renewable energy landscape. Muhammad Raheel Khan, a researcher at the Joint Doctoral School of th

In the heart of Kazakhstan, researchers at Al-Farabi Kazakh National University are pushing the boundaries of materials science, with implications that could resonate deeply within the energy sector. Led by Xinping Yu from the Faculty of Mechanics an

In the relentless pursuit of sustainable construction materials, a team of researchers led by Aswini K B. from the Department of Civil Engineering at Amrita School of Engineering, Coimbatore, has uncovered promising insights into the behavior of high

In the ever-evolving energy landscape, the integration of new energy sources and energy storage systems into distribution networks is becoming increasingly crucial. A recent study led by Longtian Zhang from the School of Electrical Engineering at Sou

In the rapidly evolving landscape of energy distribution, a groundbreaking development from the College of Mechanical and Electrical Engineering at Hebei Agricultural University in China is set to redefine power control in flexible interconnected dis

In the quest to harness the vast potential of offshore wind energy, researchers are pushing the boundaries of technology to create more efficient and reliable systems. A recent study published in the *IET Renewable Power Generation* (translated from

In the rapidly evolving landscape of renewable energy, photovoltaic (PV) systems are taking center stage, and a recent study published in the *IET Renewable Power Generation* (formerly known as the *IET Renewable Power Generation Journal*) is sheddin

In the quest to harness the full potential of wind energy, researchers have turned to digital twin technology to revolutionize ultra-short-term wind power prediction. Aotian Yuan, a researcher at the School of Energy and Electrical Engineering at Qin